Edge Computing and AI-Powered Drone Magnetometers Module Application

The evolution of advanced technology play a vital role in diverse arena. This helps in the introduction of drone magnetometer system. The drone is an electronic system with sensors to monitor and detect the targeted system thus they are created to visualize the near environmental surfaces and objects. This is accomplished through the magnetometers, radar, GPS and various sensors. These technology are integrated with IoT, artificial intelligence techniques and edge computing techniques. The numerous data are processed through the image processing and recognition techniques. The security and privacy are enhanced to adopt a safer operation in various sectors. The important challenges includes the monitoring of the transmission lines in which heavier electromagnetic waves occur. To avoid these consequences, the drones are manufactured and adopted with advanced technologies. The drones are integrated with the internet of drones to provide various navigation services accompanied with the internet of things. Thus the overall process is implemented through artificial intelligence through deep learning and k-means algorithm and edge computing techniques.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/iccsai64074.2025.11063983
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Edge Computing and AI-Powered Drone Magnetometers Module Application

Shrddha Sagar, R. Kishore Kanna, K. V. Venkatraman, Priyanka Singh
Robotics and Automated Systems
article

Edge Computing and AI-Powered Drone Magnetometers Module Application

Shrddha Sagar, R. Kishore Kanna, K. V. Venkatraman, Priyanka Singh
article en

Abstract

The evolution of advanced technology play a vital role in diverse arena. This helps in the introduction of drone magnetometer system. The drone is an electronic system with sensors to monitor and detect the targeted system thus they are created to visualize the near environmental surfaces and objects. This is accomplished through the magnetometers, radar, GPS and various sensors. These technology are integrated with IoT, artificial intelligence techniques and edge computing techniques. The numerous data are processed through the image processing and recognition techniques. The security and privacy are enhanced to adopt a safer operation in various sectors. The important challenges includes the monitoring of the transmission lines in which heavier electromagnetic waves occur. To avoid these consequences, the drones are manufactured and adopted with advanced technologies. The drones are integrated with the internet of drones to provide various navigation services accompanied with the internet of things. Thus the overall process is implemented through artificial intelligence through deep learning and k-means algorithm and edge computing techniques.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Galgotias University (IN), Amity University (IN), Phoenix Medical Systems (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 80%
Robotics and Automated Systems
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